University course · real outcomes from HESA / Discover Uni · part of Careermash
University degree

Mathematics with Economics

University of Sussex
Qualification
Degree
Length
4 yrs
UK fees / yr
£9,535
Study
Full-time
Robin · your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Solve real-world economic issues using mathematics. Develop analytical and modelling skills, and use research to dive deeper with your integrated Masters year. Solve real-world economic issues using mathematics.

Develop analytical and modelling skills, and use research to dive deeper with your integrated Masters year. We apply mathematics to solve real-world economic issues. On this integrated Masters course, you’ll get to understand the relationship between mathematics and economics by: You’ll learn from leading mathematicians and world-renowned economists, who are experts across both areas.

Their research feeds into your teaching at every stage. Your core modules develop your knowledge of pure and applied mathematics. In the third year Maths Matters project you’ll bring together information and ideas from different topics to tackle real-world problems.

In economics, you will study modules delivered by experts from the University of Sussex Business School.

Could you get in?
The grades students arrived with
<48 pts1%
48-63 pts2%
64-79 pts8%
80-95 pts18%
96-111 pts17%
112-127 pts24%
128-143 pts14%
144-159 pts4%
160-175 pts3%
176-191 pts1%
192-207 pts1%
How they qualified
83% got in with alevel. The rest came in a mix of ways:
alevel83%
otherHE8%
baccalaureate6%
degree1%
other1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
91%
Continue past first year
What graduates earn over time
£30,000
3 years on
£38,500
5 years on
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University of Sussex's own site.
Apply on uni site
Careermash · real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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